Haoyue Ping
Ph.D. candidate - Tandon School of Engineering - New York University
370 Jay St
Brooklyn, NY 11201
Haoyue Ping is a fifth year PhD candidate at New York University, and a member of VIDA, where he is very fortunate to be advised by Dr. Julia Stoyanovich. He is broadly interested in data management, data analysis, differential privacy, data ethics.
Right now he is working on two exciting projects. One of them is DB4Pref, which aims to streamline the management and analysis of preference data. He is working on new techniques to efficiently model pairwise preference data and perform preference inference over Mallows models.
The other project is DataSynthesizer. He is developing a user-friendly tool generating privacy-preserving datasets from a sensitive dataset. For example, a hospital wants to collaborate with data scientists, but cannot share its patient data until they have formal data sharing agreement, which typically takes 18 month! This tool applies differential privacy to offer strong privacy guarantees in order to boost these collaborations.
news
| Feb 18, 2020 | Our paper, Supporting Hard Queries over Probabilistic Preferences, is accepted by VLDB 2020 |
| Apr 26, 2018 | SIGMOD travel award |
| Mar 5, 2018 | Our paper, A Query Engine for Probabilistic Preferences, is accepted by SIGMOD 2018 |
| Feb 22, 2018 | Attend Conference on Fairness, Accountability, and Transparency (FAT*) 2018 at New York |
| Nov 8, 2017 | Our paper, Probabilistic Inference Over Repeated Insertion Models, is accepted by AAAI 2018 |